The convex optimization toolbox CVX now supports GP. We
recommend CVX for large or complex problems; we recommend GGPLAB,
on the other hand, for learning the basics of GP.

The solver GPCVX supports sparse problems, but is not designed
for very large scale problems.

Object manipulation overhead can make GGPLAB slow on larger
problems.

GGPLAB does not support dual variables. (The solver GPCVX,
however, does.)

To use GGPLAB you need Matlab 6.1 or later.

The GGPLAB toolbox includes a variety of worked-out examples to
help you get started and learn about geometric programming and its
applications. Some examples reproduce figures from the book Convex
Optimization or referenced papers. All of these examples can also
be found in the CVX
library.

You can browse through the examples library now without having to
download and install GGPLAB. Of course, if you wish to run any of
the examples, you will have to download the GGPLAB toolbox.